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Issue DateTitleAuthor(s)
15-Nov-2018Using multi-model ensembles of CMIP5 global climate models to reproduce observed monthly rainfall and temperature with machine learning methods in AustraliaWang, B; Zheng, L; Liu, DL; Ji, F; Clark, A; Yu, Q
1-Nov-2018Quantifying sources of uncertainty in projected wheat yield changes under climate change in eastern AustraliaWang, B; Liu, DL; Waters, C; Yu, Q
10-Jun-2019Future climate change likely to reduce the Australian plague locust (Chortoicetes terminifera) seasonal outbreaksWang, B; Deveson, ED; Waters, C; Spessa, A; Lawton, D; Feng, P; Liu, DL
15-Sep-2019Incorporating machine learning with biophysical model can improve the evaluation of climate extremes impacts on wheat yield in south-eastern AustraliaFeng, P; Wang, B; Liu, DL; Waters, C; Yu, Q
1-Apr-2018Impacts of rainfall extremes on wheat yield in semi-arid cropping systems in eastern AustraliaFeng, P; Wang, B; Liu, DL; Xing, H; Ji, F; Macadam, I; Ruan, H; Yu, Q
1-Jun-2019Impacts of future climate change on water resource availability of eastern Australia: A case study of the Manning River basinZhang, H; Wang, B; Liu, DL; Zhang, M; Feng, P; Cheng, L; Yu, Q; Eamus, D
1-Feb-2019Projected changes in drought across the wheat belt of southeastern Australia using a downscaled climate ensembleFeng, P; Liu, DL; Wang, B; Waters, C; Zhang, M; Yu, Q
1-Jan-2018Spatio-temporal distribution of sugarcane potential yields and yield gaps in Southern ChinaZu, Q; Mi, C; Liu, DL; He, L; Kuang, Z; Fang, Q; Ramp, D; Li, L; Wang, B; Chen, Y; Li, J; Jin, N; Yu, Q
1-Jul-2019Machine learning-based integration of remotely-sensed drought factors can improve the estimation of agricultural drought in South-Eastern AustraliaFeng, P; Wang, B; Liu, DL; Yu, Q
1-May-2018Future climate change projects positive impacts on sugarcane productivity in southern ChinaRuan, H; Feng, P; Wang, B; Xing, H; O'Leary, GJ; Huang, Z; Guo, H; Liu, DL
Results 1-10 of 17 (Search time: 0.065 seconds).